John Philip McCrae author Mihael Arcan author 2020-may text English eng European Language Resources Association Marseille, France conference publication 979-10-95546-46-7 In this paper, we present the NUIG system at the TIAD shard task. This system includes graph-based metrics calculated using novel algorithms, with an unsupervised document embedding tool called ONETA and an unsupervised multi-way neural machine translation method. The results are an improvement over our previous system and produce the highest precision among all systems in the task as well as very competitive F-Measure results. Incorporating features from other systems should be easy in the framework we describe in this paper, suggesting this could very easily be extended to an even stronger result. mccrae-arcan-2020-nuig https://www.aclweb.org/anthology/2020.globalex-1.15 2020-may 92 97